Metapackage of Scikit-HEP project data analysis packages for Particle Physics.

Package to deal with particles, the PDG particle data table, PDGIDs, etc.

A Deep learning library for neutrino telescopes

A Python package for flavour physics phenomenology in the Standard model and beyond

Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.

Lightweight Python interface to read Les Houches Event (LHE) files

Repository of Baler, a machine learning based data compression tool

An open-source machine learning framework for global analyses of parton distributions.

Partial Wave Analysis using TensorFlow.

Classification of Higgs boson decays using machine learning. Project for the "Tandem Project" activity at Master degree in Physics.

Jet-finding in the Scikit-HEP ecosystem.

A simple wrapper of ENTERPRISE and ceffyl that allows for new-physics searches in PTA data.

Code to compute exact two- and three-neutrino oscillation probabilities using SU(2) and SU(3) expansions

Automating Monte Carlo simulation on hardware accelerators.

Pure python statistic tools for high energy physics.

A jet grooming algorithm based on reinforcement learning.

Unsupervised anomaly detection in the latent space of high energy physics events with quantum machine learning.

PyR@TE 3

Blender Addon to Bake Particles as Keyframed Objects

A lightweight event generator for new physics in neutrino-nucleus scattering.